Library of multi-objective evolutionary algorithm written in Python language (the latest version in 2017), including multi-objective evolutionary algorithm and the most common new literature in the new algorithm, can realize the performance between different methods (including the common GD, IGD, HV and other evaluation index generation). It can be used as a reference for evolutionary computation, multi-objective optimization and single objective optimization. Python language version is simple and easy to understand, practical.

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jMetalPy-master-python\jMetalPy-master\jmetal\util\comparator.py
jMetalPy-master-python\jMetalPy-master\jmetal\util\graphic.py

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